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2. Image compression - Wikipedia

   en.wikipedia.org/wiki/Image_compression

   Image compression is a type of data compression applied to digital images, to reduce their cost for storage or transmission. Algorithms may take advantage of visual perception and the statistical properties of image data to provide superior results compared with generic data compression methods which are used for other digital data.

3. Lossless JPEG - Wikipedia

   en.wikipedia.org/wiki/Lossless_JPEG

   Typically, compressions using lossless operation mode can achieve around 2:1 compression ratio for color images. [5] This mode is quite popular in the medical imaging field, and defined as an option in DNG standard, but otherwise it is not very widely used because of complexity of doing arithmetics on 10, 12, or 14bpp values on typical embedded 32-bit processor and a little resulting gain in ...

4. JPEGmini - Wikipedia

   en.wikipedia.org/wiki/JPEGmini

   [5] [6] This technology is integrated into JPEGmini Pro allowing users to reduce the file size of their photos and videos with limited quality reduction. JPEGmini technology is built around a perceptually aligned image quality measure, which reliably determines the maximum amount of compression which can be applied to each individual image or ...

5. libjpeg - Wikipedia

   en.wikipedia.org/wiki/Libjpeg

   libjpeg is a free library with functions for handling the JPEG image data format. It implements a JPEG codec (encoding and decoding) alongside various utilities for handling JPEG data. It is written in C and distributed as free software together with its source code under the terms of a custom permissive ( BSD -like) free software license ...

6. Free Lossless Image Format - Wikipedia

   en.wikipedia.org/wiki/Free_Lossless_Image_Format

   Free Lossless Image Format (FLIF) is a lossless image format claiming to outperform PNG, lossless WebP, lossless BPG and lossless JPEG 2000 in terms of compression ratio on a variety of inputs. [ 4 ]

7. Guetzli - Wikipedia

   en.wikipedia.org/wiki/Guetzli

   Guetzli optimizes the quantization step of encoding to achieve compression efficiency. It constructs custom quantization tables for each file, decides on color subsampling, [4] and quantizes adjacent DCT coefficients to zero, balancing benefits in the run-length encoding of coefficients and preservation of perceived image fidelity.